CN108710657A - A kind of enterprise staff recruitment resume automated management system - Google Patents
A kind of enterprise staff recruitment resume automated management system Download PDFInfo
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- CN108710657A CN108710657A CN201810445815.9A CN201810445815A CN108710657A CN 108710657 A CN108710657 A CN 108710657A CN 201810445815 A CN201810445815 A CN 201810445815A CN 108710657 A CN108710657 A CN 108710657A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
- G06Q10/1053—Employment or hiring
Abstract
The present invention discloses a kind of enterprise staff recruitment resume automated management system, including resume input module, contract inputting module, keyword-extraction module, management server and display module；Management server is connect with resume input module, keyword-extraction module and display module respectively, and keyword-extraction module is connect with contract inputting module；Management server obtains establishing screening model according to office worker's gender, age, the place where his residence is registered, previous graduate college and many types of reception.Enterprise staff recruitment resume automated management system provided by the invention, it extracts and analyzes by the essential information to the existing office worker of company, establish screening model, to carry out preliminary screening to the resume of job candidates, be conducive to the introduction that enterprise carries out the talent, promote the development of enterprise, simultaneously, the efficiency of enterprise job candidates is substantially increased, resume selection efficiency is improved.
Description
Technical field
The invention belongs to information sifting and administrative skill field, it is related to a kind of enterprise staff recruitment and is managed automatically with resume
System.
Background technology
With the development of network, most job hunter delivers resume by network, and resume can easily be delivered to more
Recruitment side of family often obtains the resume of a large amount of job candidates, people for some large-scale enterprises during recruiter
For thing when in face of a large amount of resumes, there is only the low problems of efficiency for artificial screening, and there is subjective colo(u)r certainly, influence to recruit
As a result and engagement efficiency, and preliminary screening can not be carried out according to the essential information in practical recruitment post and job candidates, due to
During resume selection, need to consider the profession of interviewee and the application relationship in post, previous graduate college, the length of service,
Therefore place where his residence is registered etc. in order to improve the screening efficiency of resume, filters out best job candidates, personnel is provided for enterprise
Effective selection, now design a kind of enterprise staff recruitment resume automated management system.
Invention content
The purpose of the present invention is to provide a kind of enterprise staff recruitment resume automated management systems, solve existing enterprise
In recruitment, the low problem of existing screening efficiency can not be that enterprise filters out suitable job candidates, significantly waste enterprise
Industry recruits the time and efforts of administrative staff.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of enterprise staff recruitment resume automated management system, including contract inputting module, keyword-extraction module, pipe
Manage server and display module；Management server is connect with keyword-extraction module and display module respectively, keyword extraction mould
Block is connect with contract inputting module；
The contract inputting module is used to input the contract of enterprise on-the-job personnel, according to the surname corresponding to on-the-job personnel's contract
Name screens the essential information of the on-the-job personnel corresponding to the contract, and the essential information of the on-the-job personnel is sent to keyword and is carried
Modulus block；
Essential information of the keyword-extraction module for the on-the-job personnel of receipt of contract recording module input, and respectively
Gender, age, the place where his residence is registered, previous graduate college, many types, the on-job temporal information for extracting the on-the-job personnel of typing are sent
To management server；
The gender of the management server reception on-the-job personnel, age, the place where his residence is registered, previous graduate college, many types letter
Breath, is divided into several stages according to the age of on-the-job personnel, is followed successively by A1,A2,A3,...,An, wherein A1The corresponding age in stage
Section is 24-26 Sui, A2Stage corresponding age bracket is 26-28 Sui, AnStage corresponding age bracket be (22+2n)-(24+2n) year,
And (24+2n) year be less than legal provisions man or woman's retirement age, A1,A2,A3,...,AnThe corresponding proportion point of age level
It Wei not a1,a2,a3,...,an, a1+a2+a3+...+an=1, n >=1, anIt is expressed as the specific gravity factor shared by n-th of age level；
Management server according to the place where his residence is registered of on-the-job personnel, according to each place where his residence is registered and the enterprise location away from
From, distance is divided into different grades, successively divide distance level scale coefficient B1,B2,B3,...,Bm；
Management server is divided according to the previous graduate college and many types of on-the-job personnel, the priority level of previous graduate college
More than many types, several school's titles are stored in management server, the grade of several schools of storage is different, each school
Corresponding equivalent coefficient is different, is ranked up according to the seniority among brothers and sisters table in the whole nation according to each school, is followed successively by 1,2,3 ..., k,
And corresponding equivalent coefficient is followed successively by D1,D2,D3,...,Dk, DkIt is expressed as being ordered as the grade system of school corresponding to the school of kth
Number；Different majors are correspondingly provided with corresponding coincidence coefficient to different posies, and different majors type is labeled as L successively1,L2,...,
Li,...,Lh,LiIt is expressed as i-th of many types, different posies are labeled as J successively in enterprise1,J2,...,Jj,...,Jf,JjTable
It is shown as corresponding i-th of the post of enterprise, different majors correspond to the professional coincidence coefficient G corresponding to different posies,Wherein, gjiIt is expressed as i-th of many types and the profession in j-th of post meets
Coefficient；
Meanwhile management server is according to office worker's gender, age, the place where his residence is registered, previous graduate college and many types of reception,
It obtains establishing screening model, the formula of screening model isWherein, E is indicated
The synthesis that the position is applied for for application office worker is satisfied with coefficient, and β is expressed as development growth factor, value 1.0192, being expressed as property of λ
Other factor takes 0.467 when office worker is women, when office worker is male, 0.632, ρ is taken to take 2.824, anIt is expressed as n-th year
Specific gravity factor shared by age grade section, BmIt is expressed as m-th of distance level scale apart from the corresponding place where his residence is registered to enterprise location
Coefficient, gjiIt is expressed as the coincidence coefficient of i-th of many types and j-th of post corresponding to office worker, DkIt is expressed as being ordered as kth
School corresponding to school's equivalent coefficient, γ is equal to job candidates and is engaged in the time limit of related work.
Further, further include resume input module and display module, resume input module is by all job applicants of input
The biographic information of member is sent to management server, by the screening model formula in management server, filters out each job candidates
Coefficient is satisfied with to the synthesis of objective, the comprehensive coefficient that is satisfied with is more than the application that the standard set is satisfied with coefficient by management server
The biographic information of personnel and the job candidates are satisfied with coefficient to the synthesis of the position and are sent to display module；
Display module is used to receive the resume for managing the job candidates that screening server goes out and the job candidates to application
The synthesis of position is satisfied with coefficient, and carries out the comprehensive display for being satisfied with coefficient.
Further, the biographic information of resume input module typing includes gender, age, birthplace, existing residence, graduation
School, many types, length of service.
Further, distance of the different distance grade with the place where his residence is registered apart from the enterprise location is inversely proportional, distance etc.
Grade coefficientWherein, u is expressed as distance coefficient, takes 0.936, SStandardBe expressed as setting apart from enterprise location
Gauged distance, SmBe expressed as the corresponding place where his residence is registered of m-th of distance level scale to enterprise location distance.
Further, the essential information of the on-the-job personnel of the contract inputting module screening includes gender, age, household register institute
In ground, previous graduate college, many types.
Beneficial effects of the present invention：
Enterprise staff recruitment resume automated management system provided by the invention, passes through the basic letter to the existing office worker of company
Breath is extracted and is analyzed, and establishes screening model, to carry out preliminary screening to the resume of job candidates, is conducive to enterprise's progress
The introduction of the talent promotes the development of enterprise, meanwhile, the efficiency of enterprise job candidates is substantially increased, resume selection efficiency is improved.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of schematic diagram of enterprise staff recruitment resume automated management system of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained all other without creative efforts
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, the present invention is a kind of enterprise staff recruitment resume automated management system, including resume inputs
Module, contract inputting module, keyword-extraction module, management server and display module；Management server is defeated with resume respectively
Enter module, keyword-extraction module is connected with display module, keyword-extraction module is connect with contract inputting module；
Resume input module is used to input the biographic information of job candidates, and the biographic information of typing includes gender, the age, goes out
Radix Rehmanniae, existing residence, previous graduate college, many types, length of service etc., and the biographic information of typing is sent to management service
Device；
Contract inputting module is used to input the contract of existing on-the-job personnel, the name screening corresponding to on-the-job personnel's contract
The essential information of on-the-job personnel corresponding to the contract, and the essential information of the on-the-job personnel is sent to keyword extraction mould
Block, wherein the essential information of on-the-job personnel includes the information such as gender, age, the place where his residence is registered, previous graduate college, many types；
Essential information of the keyword-extraction module for the on-the-job personnel of receipt of contract recording module input, and extract respectively
Gender, age, the place where his residence is registered, previous graduate college, many types information of the on-the-job personnel of typing is sent to management server；
Management server receives gender, age, the place where his residence is registered, previous graduate college, many types information of on-the-job personnel, root
Several stages are divided into according to the age of on-the-job personnel, are followed successively by A1,A2,A3,...,An, wherein A1Stage, corresponding age bracket was
24-26 Sui, A2Stage corresponding age bracket is 26-28 Sui, AnStage corresponding age bracket be (22+2n)-(24+2n) year, and
(24+2n) year be less than legal provisions man or woman's retirement age, A1,A2,A3,...,AnThe corresponding proportion difference of age level
For a1,a2,a3,...,an, a1+a2+a3+...+an=1, n >=1, anIt is expressed as the specific gravity factor shared by n-th of age level；
Management server according to the place where his residence is registered of on-the-job personnel, according to each place where his residence is registered and the enterprise location away from
From, distance is divided into different grades, successively divide distance level scale coefficient B1,B2,B3,...,Bm, B1,B2,B3,...,Bm's
Equivalent coefficient numerical value continuously decreases, between adjacent two distance level scale apart from spacing range between 20-30KM, different distance grade
Distance with the place where his residence is registered apart from the enterprise location is inversely proportional, distance level scale coefficientWherein, u is expressed as
Distance coefficient takes 0.936, SStandardIt is expressed as the gauged distance apart from enterprise location of setting, SmIt is expressed as m-th of distance etc.
Distance of the corresponding place where his residence is registered of grade to enterprise location；
Management server is divided according to the previous graduate college and many types of on-the-job personnel, the priority level of previous graduate college
More than many types, several school's titles are stored in management server, the grade of several schools of storage is different, each school
Corresponding equivalent coefficient is different, is ranked up according to the seniority among brothers and sisters table in the whole nation according to each school, is followed successively by 1,2,3 ..., k,
And corresponding equivalent coefficient is followed successively by D1,D2,D3,...,Dk, DkIt is expressed as being ordered as the grade system of school corresponding to the school of kth
Number；Different majors are correspondingly provided with corresponding coincidence coefficient to different posies, and different majors type is labeled as L successively1,L2,...,
Li,...,Lh,LiIt is expressed as i-th of many types, different posies are labeled as J successively in enterprise1,J2,...,Jj,...,Jf,JjTable
It is shown as corresponding i-th of the post of enterprise, different majors correspond to the professional coincidence coefficient G corresponding to different posies,Wherein, gjiIt is expressed as i-th of many types and the profession in j-th of post meets
Coefficient；
Meanwhile management server is according to office worker's gender, age, the place where his residence is registered, previous graduate college and many types of reception,
It obtains establishing screening model, the formula of screening model isWherein, E is indicated
The synthesis that the position is applied for for application office worker is satisfied with coefficient, and β is expressed as development growth factor, value 1.0192, being expressed as property of λ
Other factor takes 0.467 when office worker is women, when office worker is male, 0.632, ρ is taken to take 2.824, anIt is expressed as n-th year
Specific gravity factor shared by age grade section, BmIt is expressed as m-th of distance level scale apart from the corresponding place where his residence is registered to enterprise location
Coefficient, gjiIt is expressed as the coincidence coefficient of i-th of many types and j-th of post corresponding to office worker, DkIt is expressed as being ordered as kth
School corresponding to school's equivalent coefficient, γ is equal to job candidates and is engaged in the time limit of related work.
The biographic information of all job candidates of input is sent to management server by resume input module, is taken by managing
The screening model formula being engaged in device, filters out each job candidates and is satisfied with coefficient to the synthesis of objective, management server will be comprehensive
Close be satisfied with coefficient be more than setting standard be satisfied with coefficient job candidates biographic information and the job candidates to the position
Synthesis is satisfied with coefficient and is sent to display module；
Display module is used to receive the resume for managing the job candidates that screening server goes out and the job candidates to application
The synthesis of position is satisfied with coefficient, and carries out the comprehensive display for being satisfied with coefficient.
Enterprise staff recruitment resume automated management system provided by the invention, passes through the basic letter to the existing office worker of company
Breath is extracted and is analyzed, and establishes screening model, to carry out preliminary screening to the resume of job candidates, is conducive to enterprise's progress
The introduction of the talent promotes the development of enterprise, meanwhile, the efficiency of enterprise job candidates is substantially increased, resume selection efficiency is improved.
The above content is just an example and description of the concept of the present invention, affiliated those skilled in the art
It makes various modifications or additions to the described embodiments or substitutes by a similar method, without departing from invention
Design or beyond the scope defined by this claim, be within the scope of protection of the invention.
Claims (5)
1. a kind of enterprise staff recruitment resume automated management system, it is characterised in that：It is carried including contract inputting module, keyword
Modulus block, management server；Management server is connect with keyword-extraction module, keyword-extraction module and contract inputting module
Connection；
The contract inputting module is used to input the contract of enterprise on-the-job personnel, the name sieve corresponding to on-the-job personnel's contract
The essential information of the on-the-job personnel corresponding to the contract is selected, and the essential information of the on-the-job personnel is sent to keyword extraction mould
Block；
Essential information of the keyword-extraction module for the on-the-job personnel of receipt of contract recording module input, and extract respectively
Gender, age, the place where his residence is registered, previous graduate college, many types, the on-job temporal information of the on-the-job personnel of typing is sent to pipe
Manage server；
The management server receives gender, age, the place where his residence is registered, previous graduate college, many types information of on-the-job personnel, root
Several stages are divided into according to the age of on-the-job personnel, are followed successively by A1,A2,A3,...,An, wherein A1Stage, corresponding age bracket was
24-26 Sui, A2Stage corresponding age bracket is 26-28 Sui, AnStage corresponding age bracket be (22+2n)-(24+2n) year, and
(24+2n) year be less than legal provisions man or woman's retirement age, A1,A2,A3,...,AnThe corresponding proportion difference of age level
For a1,a2,a3,...,an, a1+a2+a3+...+an=1, n >=1, anIt is expressed as the specific gravity factor shared by n-th of age level；
Management server is according to the place where his residence is registered of on-the-job personnel, according to each place where his residence is registered at a distance from the enterprise location,
Distance is divided into different grades, divides distance level scale coefficient B successively1,B2,B3,...,Bm；
Management server is divided according to the previous graduate college and many types of on-the-job personnel, and the priority level of previous graduate college is more than
Many types are stored with several school's titles in management server, and the grade of several schools of storage is different, and each school corresponds to
Equivalent coefficient it is different, be ranked up according to the seniority among brothers and sisters table in the whole nation according to each school, be followed successively by 1,2,3 ..., k, and right
The equivalent coefficient answered is followed successively by D1,D2,D3,...,Dk, DkIt is expressed as being ordered as school's equivalent coefficient corresponding to the school of kth；
Different majors are correspondingly provided with corresponding coincidence coefficient to different posies, and different majors type is labeled as L successively1,L2,...,
Li,...,Lh,LiIt is expressed as i-th of many types, different posies are labeled as J successively in enterprise1,J2,...,Jj,...,Jf,JjTable
It is shown as corresponding i-th of the post of enterprise, different majors correspond to the professional coincidence coefficient G corresponding to different posies,Wherein, gjiIt is expressed as i-th of many types and the profession in j-th of post meets
Coefficient；
Meanwhile management server is obtained according to office worker's gender, age, the place where his residence is registered, previous graduate college and many types of reception
Screening model is established, the formula of screening model isWherein, E is expressed as answering
Engage the synthesis that office worker applies for the position to be satisfied with coefficient, β is expressed as development growth factor, value 1.0192, λ be expressed as gender because
Element takes 0.467 when office worker is women, when office worker is male, 0.632, ρ is taken to take 2.824, anIt is expressed as n-th year age grade
The specific gravity factor of Duan Suozhan, BmIt is expressed as m-th of distance level scale coefficient apart from the corresponding place where his residence is registered to enterprise location,
gjiIt is expressed as the coincidence coefficient of i-th of many types and j-th of post corresponding to office worker, DkIt is expressed as being ordered as kth
School's equivalent coefficient corresponding to school, γ are equal to the time limit that job candidates are engaged in related work.
2. a kind of enterprise staff recruitment resume automated management system according to claim 1, it is characterised in that：Further include
The biographic information of all job candidates of input is sent to management clothes by resume input module and display module, resume input module
Business device filters out each job candidates and is satisfied with coefficient to the synthesis of objective by the screening model formula in management server,
Management server by it is comprehensive be satisfied with coefficient be more than setting standard be satisfied with coefficient job candidates biographic information and the application
Personnel are satisfied with coefficient to the synthesis of the position and are sent to display module；
Display module is used to receive the resume for managing the job candidates that screening server goes out and the job candidates to objective
Synthesis be satisfied with coefficient, and carry out the comprehensive display for being satisfied with coefficient.
3. a kind of enterprise staff recruitment resume automated management system according to claim 1, it is characterised in that：Resume is defeated
The biographic information for entering module typing includes gender, age, birthplace, existing residence, previous graduate college, many types, length of service.
4. a kind of enterprise staff recruitment resume automated management system according to claim 1, it is characterised in that：Difference away from
It is inversely proportional from grade and the distance in the enterprise location with a distance from the place where his residence is registered, distance level scale coefficientWherein, u
It is expressed as distance coefficient, takes 0.936, SStandardIt is expressed as the gauged distance apart from enterprise location of setting, SmIt is expressed as m-th
Distance of the corresponding place where his residence is registered of distance level scale to enterprise location.
5. a kind of enterprise staff recruitment resume automated management system according to claim 1, it is characterised in that：The conjunction
Essential information with the on-the-job personnel of recording module screening includes gender, age, the place where his residence is registered, previous graduate college, many types.
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| CN201810445815.9A CN108710657A (en) | 2018-05-11 | 2018-05-11 | A kind of enterprise staff recruitment resume automated management system |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109472310A (en) * | 2018-11-12 | 2019-03-15 | 深圳八爪网络科技有限公司 | Determine the recognition methods and device that two parts of resumes are the identical talent |
| CN110297973A (en) * | 2019-06-18 | 2019-10-01 | 中国平安财产保险股份有限公司 | A kind of data recommendation method based on deep learning, device and terminal device |
| CN111144781A (en) * | 2019-12-31 | 2020-05-12 | 江苏德尔斐数字科技有限公司 | Intelligent talent evaluation screening method based on cloud data |
| CN111476481A (en) * | 2020-04-03 | 2020-07-31 | 青岛鲨鱼汇信息技术有限公司 | Advance work flow combining intelligent labor risk management |
| CN111680972A (en) * | 2020-03-19 | 2020-09-18 | 江苏智檬智能科技有限公司 | Talent resume matching method based on artificial intelligence big data |
| CN112766869A (en) * | 2020-12-10 | 2021-05-07 | 南方电网数字电网研究院有限公司 | Man-sentry matching algorithm for digital human resource management |
| CN113298495A (en) * | 2021-05-27 | 2021-08-24 | 中国科学院深圳先进技术研究院 | Resume screening method, resume screening device, terminal device and storage medium |
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| CN103634420A (en) * | 2013-11-22 | 2014-03-12 | 北京极客优才科技有限公司 | Resume e-mail screening system and method |
| CN107909340A (en) * | 2017-11-08 | 2018-04-13 | 平安科技（深圳）有限公司 | Resume selection method, electronic device and readable storage medium storing program for executing |
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| CN103634420A (en) * | 2013-11-22 | 2014-03-12 | 北京极客优才科技有限公司 | Resume e-mail screening system and method |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109472310A (en) * | 2018-11-12 | 2019-03-15 | 深圳八爪网络科技有限公司 | Determine the recognition methods and device that two parts of resumes are the identical talent |
| CN110297973A (en) * | 2019-06-18 | 2019-10-01 | 中国平安财产保险股份有限公司 | A kind of data recommendation method based on deep learning, device and terminal device |
| CN111144781A (en) * | 2019-12-31 | 2020-05-12 | 江苏德尔斐数字科技有限公司 | Intelligent talent evaluation screening method based on cloud data |
| CN111680972A (en) * | 2020-03-19 | 2020-09-18 | 江苏智檬智能科技有限公司 | Talent resume matching method based on artificial intelligence big data |
| CN111476481A (en) * | 2020-04-03 | 2020-07-31 | 青岛鲨鱼汇信息技术有限公司 | Advance work flow combining intelligent labor risk management |
| CN112766869A (en) * | 2020-12-10 | 2021-05-07 | 南方电网数字电网研究院有限公司 | Man-sentry matching algorithm for digital human resource management |
| CN113298495A (en) * | 2021-05-27 | 2021-08-24 | 中国科学院深圳先进技术研究院 | Resume screening method, resume screening device, terminal device and storage medium |
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Application publication date: 20181026 |